Senior AI Native Engineer (React, Next.js, Flutter)

Top 3 Reasons To Join Us

Build impactful products from the ground up

Tackle high-scale, real-world tech challenges

Grow with a multidisciplinary tech team

The Job

DatVietVAC Group Holdings is looking for a Senior AI Native Engineer (React, Next.js, Flutter) to build web and mobile applications for our Fan Commerce Platform.

You will develop web applications using React and Next.js and cross-platform mobile applications using Flutter for Android and iOS. This role follows an AI-native development approach, using coding agents and AI-assisted tools to accelerate delivery while maintaining high standards of code quality, security, performance, and maintainability in production.

1. Web and Mobile Application Development

• Build and maintain web applications using React, Next.js, and TypeScript.
• Develop cross-platform mobile applications using Flutter and Dart for Android and iOS.
• Deliver product features from UI/UX designs and product requirements through development, testing, release, and production support.
• Translate product requirements and designs into well-structured, testable, and production-ready code.
• Develop core user journeys across web and mobile, ensuring a consistent experience across platforms.
• Build responsive, accessible, and high-performing interfaces for different devices and network conditions.
• Optimize application performance, stability, loading time, and overall user experience.

2. AI-native and Coding Agent Development

• Use coding agents and AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, or equivalent solutions for code generation, refactoring, debugging, documentation, and repetitive engineering tasks.
• Design effective prompts, context, rules, and development workflows so that coding agents produce code aligned with product requirements, project architecture, and engineering conventions.
• Review, test, correct, and improve AI-generated code before merging or releasing it.
• Identify security, performance, maintainability, and architectural risks in AI-generated code.
• Balance development speed with code quality, testing coverage, maintainability, and long-term product stability.
• Evaluate new AI-assisted engineering tools and recommend practical applications for the development team.

3. System Integration and Product Quality

• Integrate web and mobile applications with backend services through REST or gRPC APIs.
• Implement authentication, authorization, state management, error handling, and end-to-end data flows.
• Write and maintain unit, integration, and end-to-end tests for core product journeys.